Вакансии

Location: Москва Мы — команда Platform V Works, часть облачной цифровой платформы Сбера для разработки бизнес-приложений. Разрабатываем высокотехнологичные IT-продукты и обеспечиваем импортонезависимость в области ПО. Мы создаем новую коллаборативную платформу для работы команды разработки. Это интуитивно понятный и удобный сервис, который помогает управлять командами, эффективно организовывать задачи, обмениваться информацией и совместно работать над проектами. Перед тобой не просто вакансия. Перед тобой отличная возможность сделать этот мир технологичнее и лучше. Мы - первая команда СберТех, которая тиражирует свой продукт в формате SaaS. **Ищем сотрудника на декретную ставку.** Обязанности ### Чем предстоит заниматься: * развивать и поддерживать высоко-нагруженный сервис с плагинной/микрофронтовой архитектурой, используя Feature-Sliced Design методологию * участвовать в определении направления развития архитектуры сервиса и выборе технологий * проектировать и разрабатывать публичные API сервиса и механизмы интеграции сторонних сервисов * создавать интерфейсы и сервисные утилиты на node js * повышать надежность и качество сервиса на всех уровнях, оптимизировать производительность (в том числе на уровне nginx), разрабатывать инструменты мониторинга * обеспечивать тестовое покрытие (юнит, интеграционное, апи, e2e) * участвовать в ретроспективах инцидентов на проде и предпринимать меры по решению внештатных ситуаций * принимать участие в планировании спринтов, оценке и деĸомпозиции задач, проводить арх- и код-review решений коллег, предоставлять аргументированную критику. **Из числа не-рутинных:** * обеспечить доступность интерфейса для всех категорий пользователей на множестве платформ, браузеров и их версий * реализовать конструктор диаграмм и WYSIWYG редактор с возможностью совместного редактирования * развивать собственную библиотеку UI компонентов на базе токенов. Требования ### Наши ожидания: * уверенное владение JavaScript, TypeScript, React, CSS, HTML5 (от 3-х лет), понимание принципов работы Nginx, знание основных библиотек, структур данных и шаблонов проектирования * cпособность создавать кроссбраузерный адаптивный производительный пользовательский интерфейс по макетам и/или ux/ui-гайдам * знание технологий и методик проведения модульного тестирования, опыт использования инструментов тестирования Jest, CodeceptJS/Playwright * навыки работы с bash, git (модель GitFlow), nodejs, webpack, yarn, npm, lerna, docker * опыт работы в продуктовой команде по гибким (Agile) методологиям * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. **Будет преимуществом:** * знакомство с Apollo GraphQL, WebSocket, Effector, Axios * опыт построения микрофронтенд приложений с использованием Webpack Module Federation * опыт администрирования/разработки для/интеграции с Jira/Confluence/Bitbucket, использования scripting engine внутри разрабатываемых систем * опыт настройки сборочных скриптов и CI/CD * опыт написания storybook для компонентов * опыт профилирования приложений - поиск утечек памяти и bottleneck. Условия ### Мы предлагаем: * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа * статус аккредитованной ИТ-компании со всеми преимуществами * льготная ипотека для сотрудников, подписка Прайм с возможностью шеринга (совместного использования) на трёх близких, скидки от партнеров и сервисов группы компаний * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис с видом на набережную, зонами отдыха и спортзалом * 90 дней удаленной работы из любого региона РФ * реферальная программа (бонус до 100 000 рублей).

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Alpaca is seeking a Senior Cashiering Operations Associate to own client money movement across ACH, domestic and international wires, RTP, checks, and internal journals. This role is accountable for timely, accurate, and compliant cash processing, with a strong mandate to strengthen operational controls, reduce risk, and drive process quality. You will operate with a high degree of independence, exercise judgment on complex and high-risk transactions, and serve as a key partner to custodians and banking partners. The ideal candidate brings deep money-movement expertise, a control-first mindset, and clear ownership of outcomes in a fast-paced fintech environment. Ops Control Framework & Oversight Own and continuously strengthen controls across money movement workflows, ensuring adherence to firm policies, regulatory expectations, and data privacy standards Review, validate, and approve client money movement requests (ACH, wires, RTP, checks, journals) in accordance with firm policies Process and release transactions accurately and within established SLAs Reconcile daily cash movements, deposits, and settlement activity to ensure accurate posting Monitor and resolve exceptions, returns, rejects, and transaction discrepancies Serve as a primary operational point of contact for custodians and banking partners Prepare and review daily and monthly operational reports, including transaction coding oversight Maintain accurate documentation and case tracking in Salesforce and internal systems Ensure adherence to regulatory requirements, internal controls, and data privacy standards Identify operational risks and escalate suspicious or high-risk transactions appropriately Support audits, reporting requirements, and special projects as needed Partner with Operations, Compliance, Risk, and Technology to design and implement process improvements Train and coach internal teams; contribute to playbooks, SOPs, and onboarding for cashiering workflows What You Bring Bachelor’s degree in Finance, Business, Economics, or related field — or equivalent experience 5+ years of experience in financial services, brokerage operations, banking, or cashiering Direct experience processing money movements (ACH, wires, checks, journals, RTP preferred) Experience interacting with custodians, clearing firms, or correspondent banks Strong command of operational risk and fraud controls High level of attention to detail and accuracy Clear, confident written and verbal communication with internal stakeholders and external partners Ability to work independently, prioritize competing demands, and elevate issues with context and recommendations Series 7 or additional FINRA licenses Preferred Experience Portfolio accounting or broker-dealer systems Experience in fintech or high-growth environments Prior ownership of SOPs, control frameworks, or audit support for cash/money movement operations Experience mentoring or training operations team members Core Competencies Detail Orientation Action & Ownership Mindset Strong Risk Awareness Clear Communication Responsiveness & Follow-Through Cross-Functional Collaboration Confidentiality & Professional Judgment Alignment with Alpaca’s company tenets Stay Curious Have Empathy Be Accountable How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's sales organization is growing quickly across segments, industries, and geographies, and how we sell has to mature as fast as the team does. We are looking for a Head of Sales Excellence & Methodology to own the substance of sales enablement at Anthropic: the sales methodology itself, the standard for what excellent selling looks like here, and the change management that makes it stick in the field. You will define a common way of selling that holds up across very different customers, from startups to the largest global enterprises, and then lead the organization through adopting it. That means earning sponsorship from senior sales leadership, equipping frontline managers to coach to the methodology instead of only inspecting for it, and building alongside sellers so the result reflects how deals are really won. This is a leadership role for someone who has taken a sales organization through real transformation and can show that it changed behavior and results. You will set direction, [build and lead a team], and stay close enough to the field to know when something is not working. Key responsibilities: Define, document, and evolve Anthropic's sales methodology and process standards, including discovery, qualification, deal strategy, and deal review, so that sellers in every segment and region share a common language Design and run the rollout and reinforcement of methodology changes across the sales organization, securing executive sponsorship and making clear what is expected of each level of sales leadership Equip frontline managers to coach to the methodology in pipeline reviews, deal reviews, and forecasting, so that it becomes part of the operating rhythm Sequence and deliver complex, multi-audience programs across geographies, segments, industries, and roles that scale globally while adapting where local or segment differences matter Develop content, frameworks, and standards together with sellers and sales leaders, testing them on live deals before scaling Define the leading and lagging indicators that show whether the methodology is changing seller behavior and outcomes, and act on what the data shows Partner with Sales Leadership, Revenue Operations, Product, Marketing, and the wider Sales Enablement team so the methodology is reflected in systems, messaging, and day-to-day workflows Apply Claude and internal tooling to personalize coaching and reinforcement, so that quality does not depend on headcount Minimum qualifications: Practitioner-level expertise in sales methodology and sales process design, including discovery, qualification, deal strategy, deal review, and forecasting Have led a methodology or sales process change across a sales organization, and can show how seller behavior and results changed as a result Have run enablement or sales excellence programs spanning multiple geographies, segments, industries, or roles Have worked directly with senior sales leaders and frontline managers to secure sponsorship for change, including holding a position constructively when they disagreed Have built programs with sellers and sales leaders, testing them on live deals, instead of handing down finished programs Have defined and tracked adoption and impact measures that go beyond completion and satisfaction scores Communicate clearly, in writing and in conversation, with executive audiences Preferred qualifications: Experience building and leading a team of senior enablement or sales excellence professionals A clear, experience-based view of where common sales methodologies break down in practice Prior experience carrying a quota or leading a sales team Experience at an AI company or an enterprise technology company during a period of rapid sales team scaling Hands-on experience using Claude or similar AI tools to automate or personalize coaching and reinforcement Experience selling, or enabling the sale of, complex technical products to both technical and business buyers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $310,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Why Join Enterprise AI? Turing’s Financial Services team brings enterprise AI into the world’s leading banks, asset managers, private equity firms, and insurers. We work with some of the largest investment banks, asset managers, and private equity firms in the world. We built this business from the ground up and compete with the largest consulting firms every day by bringing greater depth in AI. As Client Director, Business Development, BFSI, you will develop relationships across a targeted portfolio of financial services accounts, identify high-value opportunities, and turn initial projects into multi-year AI programs. You will lead initial customer conversations, bring in solutions engineers and AI architects, and own the commercial process through the first SOW and into the second. This is an opportunity for an experienced financial services seller to move from the services era into an AI-native company and develop a portfolio of high-value AI engagements that defines the next decade of their career. Why This Role Matters Financial services firms are moving beyond AI experimentation and looking to deploy AI in regulated environments, on data that remains inside the firm, and across operational workflows that have historically been difficult to automate. Turing combines deep relationships with frontier AI labs and enterprise deployment capabilities to help financial services organizations move from experimentation to production. Over the next 12 months, you will help grow the financial services business significantly. Turing leads with a platform that remains in place after delivery, creating the foundation for future engagements. New MSAs can close in approximately four months, even in an industry where enterprise agreements often take years. As Client Director, Business Development, BFSI, You Will Develop and Prioritize the Target Account Portfolio Take ownership of an existing portfolio of target financial services accounts, prioritizing opportunities across mid-size and regional banks, private equity and alternatives managers, asset managers, and insurers. Partner with the General Manager, BFSI, to refine account priorities and develop a focused business development strategy within your first 90 days. Develop Executive Relationships and Create Opportunities Build relationships at the Managing Director level and above, including within COO, CIO, and head-of-operations offices. Identify opportunities to apply Turing’s AI capabilities to high-value business problems and lead initial relationship conversations. Own the Deal Qualify opportunities based on sponsor, budget, and intent to reach production. Bring in solutions engineers and AI architects early, direct what they pitch, and scope and price deals that combine platform and services. Create the Path to the Second Project Remain commercially accountable beyond the first SOW, establishing a clear path to a multi-year AI program. Partner with the engagement lead after the initial sale while maintaining ownership of identifying, developing, and closing the second project. Run a Disciplined Forecast Manage a focused pipeline and provide a forecast you can stand behind. Track opportunities from the first relationship conversation through SOW signature and future expansion. The Anti-Sell Business development focus: This role is focused on developing opportunities and driving revenue across a targeted portfolio of financial services accounts. This is not a traditional account management or customer success role focused primarily on renewals, relationship maintenance, or delivery oversight. The emphasis is on proactively developing opportunities and driving commercial growth across the assigned account portfolio. Commercial ownership, not delivery ownership: You will own the sales process and first SOW, but not delivery or engagement P&L. Partner-led technical solutioning: You will not own technical solution design. Solutions engineers and AI architects will lead that work. Proactive business development: This role is not for someone who relies primarily on renewals, passive account management, or procurement-led selling. You will be expected to proactively develop executive relationships, identify high-value business opportunities, generate demand, and lead consultative sales conversations. High autonomy: This is a self-directed role requiring the judgment and drive to work independently while remaining accountable to a small leadership team. Our Financial Services Business Development Leaders Typically Have Deep financial services selling experience: At least 10 years selling technology services, data, or AI solutions into financial services organizations. Enterprise sales success: A demonstrated record of developing and closing complex enterprise engagements worth $1 million or more, with personal ownership of the commercial sales process. Executive-level relationships: A network at the Managing Director level and above, including relationships with COO, CIO, and head-of-operations leaders who will take your call. Full-cycle enterprise selling: Experience leading enterprise sales from initial relationship development through qualification, solution shaping, pricing, negotiation, and signed SOW. Consultative and technical fluency: The ability to lead with the customer’s problem, understand AI deployment concepts, and work effectively with solutions engineers and AI architects. Self-directed execution: The drive to work independently, maintain a disciplined forecast, and remain accountable to a small leadership team. Top-Tier Candidates Will Have Experience co-selling with a hyperscaler or AI lab. Experience selling a data or AI platform alongside services. Relationships inside alternatives managers, global banks, or insurers. Experience based in or willing to relocate to New York. Willingness to travel regularly across the Northeast. Compensation: $280,000 - $350,000 base salary + variable compensation, equity & additional benefits Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Philippines Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Values Here are our Company Values and we’d love to have individuals who can be a culture add to our team! What We Offer Permanently Remote Pay wired directly to your bank account $50 Monthly Stipend Annual Bonus Flexible PTO Enjoy company time off during some of the major US and PH Holidays Career fast track for performers and internal mobility Learn from a team of Stanford, MIT, Google, and Harvard alumni Grow With Us We are building an AI-native Service organization that delivers accurate, timely, and customer-centric Payroll support. As a Payroll Managed Services Representative, you will help customers navigate their payroll needs while leveraging AI-powered tools and automation to enhance the quality, speed, and consistency of our service. In this role, you'll combine payroll expertise with strong customer service skills, sound judgment, and a passion for continuous improvement. You'll collaborate closely with teammates and our Engineering, Product, and Design (EPD) teams to identify opportunities to streamline workflows, improve the customer experience, and scale our operations through thoughtful use of AI. We're looking for someone who is dependable, detail-oriented, and customer-focused. You take ownership of issues from start to finish, communicate clearly, and adapt quickly to new tools and processes. You are excited by the potential of AI and automation while understanding that payroll requires accuracy, confidentiality, compliance, and careful human oversight. Day In The Life Respond to customer questions, investigate issues, and provide clear, helpful resolutions. Prepare regular payrolls using customer-provided data points and recurring items Review payroll data, identify discrepancies, and follow established controls and procedures. Deliver accurate and timely Payroll services to customers. Handle sensitive payroll and employee information with a high degree of confidentiality. Use AI-enabled tools and automated workflows to improve speed, quality, and consistency. Apply human judgment to review, validate, and escalate AI-generated recommendations or outputs. Identify recurring customer issues and manual processes that could be improved through automation. Share customer feedback and operational insights with team leaders and the EPD team. Participate in testing, rollout, and adoption of new AI-powered tools and processes. Maintain accurate documentation and contribute to knowledge-base improvements. Meet service, quality, productivity, and customer-experience goals. Support a collaborative team environment through knowledge sharing, coaching, and continuous improvement. Who You Are Experience : 2+ years in payroll, customer service, operations, HR technology, finance operations, or a related field. Attention to detail and commitment to accuracy. Communication : Excellent written and verbal communication skills. Prioritization : Ability to manage multiple priorities and meet time-sensitive deadlines. Problem-solving and critical-thinking skills. Software Proficiency : Comfort working with software, data, and digital workflows. AI Adoption : Willingness to learn and use AI-powered tools responsibly. Confidentiality : Ability to handle confidential information with discretion. Customer-focused mindset and demonstrated ownership of issues through resolution. Nice To Have Payroll Processing : Experience processing payroll or supporting payroll-related customer inquiries. Systems Knowledge : Familiarity with payroll systems, HRIS platforms, timekeeping systems, or financial software. Certification : Payroll certification such as FPC or CPP. Automation : Experience with workflow automation, AI-assisted tools, quality assurance, or process improvement. Fast-paced Environment : Experience working in a fast-paced technology or service environment. Success in This Role Success will be measured by: Completion : Accurate and timely completion of Payroll services. Quality : High-quality, empathetic, and effective customer support. Compliance : Consistent adherence to service controls, policies, and compliance requirements. AI Utility : Productive and responsible use of AI-powered tools. Process Improvement : Meaningful contributions to process and automation improvements. Collaboration : Strong collaboration with teammates and the EPD organization. Skill Development : Continued development of payroll, service, and technology skills. Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: Must have prior experience working with US federal, state, and/or local agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: Security clearance not required, but a plus Must have prior experience working with US federal agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Risk & Analytics Team The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Senior Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel. Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences. Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience. Core Analytics: Build the quantitative research, performance monitoring, and scalable data foundations that enable fast, economically sound decisions. Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency. International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets. About the Role As a Senior Analyst in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Senior Analyst roles share a common foundation: owning complex analytical problems end to end, translating data into business strategy, and influencing decisions across technical and non-technical teams. You will operate with autonomy to own the entire analytical lifecycle, from initial question to final business decision. You bring exceptional analytical rigor, deep domain expertise, and the ability to translate complex regulatory, economic, and machine learning insights into actionable business strategies. You thrive in ambiguity, balance growth with resilience, and are comfortable operating at both strategic and execution levels to influence stakeholders across the organization. What You Will Do Optimize End-to-End Strategy: Leverage advanced data analytics to independently derive insights, develop, and optimize business, risk, or growth strategies across products and geographies. Manage Macro & Market Trends: Monitor portfolio performance and exogenous macroeconomic trends, proactively adjusting analytical and operational strategies to mitigate risk and balance growth. Model & Capability Building: Partner deeply with Engineering and Machine Learning teams to design, build, and interpret performance metrics for scalable risk, fraud, or growth models. Cross-Functional Leadership: Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements, translating them directly into analytical policy and product design recommendations. Oversee Frameworks & Launches: Oversee the development and execution of analytical frameworks. Drive cross-functional discussions to ensure new product launches and market entries align with risk appetite, operational capabilities, and local regulations. External & Strategic Alignment: Engage with external stakeholders, including merchants, vendors, and partners, to align practices, ensure compliance, and strengthen strategic relationships. AI Leverage & Mentorship: Build repeatable AI-assisted workflows that compound across the team's analyses, while mentoring junior analysts on technical craft and domain nuances. What We Look For 2–5 years of proven experience in an analytically driven role within the consumer lending, credit, or fintech industry, specifically leveraging advanced analytics to develop and optimize business strategies. Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field. Advanced proficiency in SQL, Python, or other scripting languages. Deep expertise in data mining, data visualization, and statistical modeling, with experience applying machine learning techniques to business or risk management problems. Proven experience leading cross-functional initiatives that bridge Product, Legal, Compliance, and Engineering to align analytical strategies with business objectives. Strong understanding of consumer lending regulations, regional market dynamics, and the broader economic landscape influencing policy and growth. Demonstrated ability to translate complex regulatory and economic insights into actionable strategies. Exceptional communication skills with the ability to influence senior stakeholders across technical and non-technical functions. Pay Grade - K Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $112,000 - $172,000 This posting is for an existing vacancy. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech companies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: US Secret Clearance preferred for working with defense tech customers Prior work in government, government contracting, or government tech preferred 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote; Remote - Mexico; Remote - Argentina; Remote - Uruguay; Remote - Colombia; Remote - AMER; Remote - Brazil; Remote - Paraguay Workplace: Remote About Us Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. About the Position We're looking for a proactive and highly organized Technical Project Manager to lead customer implementations across Constructor's product suite. You will lead onboardings for new customers as well as implementations of additional products for existing customers, owning each engagement from kickoff through activation. You will own the plan, the timeline, and the outcome, and you drive the people delivering it through a matrixed reporting structure. As we build toward an automation-first operating model, you will help standardize how implementations are run and increasingly act as a portfolio strategist, managing exceptions while repeatable, AI-assisted processes carry the routine work. You will: • Lead multiple implementations end to end, both new-customer onboardings and additional-product rollouts for existing customers, from kickoff through integration, testing, and activation. • Take accountability for the outcome of every implementation, coordinating Constructor resources, customer resources, and partners, against a single shared plan. • Run kickoffs, set milestones, track dependencies, and maintain a clear, shared view of status for internal stakeholders and the customer. • Serve as the customer's primary point of contact through activation, setting expectations and communicating progress, risks, and changes in scope. • Identify risks and blockers early, escalate effectively, and keep implementations moving toward on-time, predictable delivery. • Ensure clean handoffs into implementation from Sales and out of implementation to Customer Success and Support. • Maintain implementation plans and reporting in our systems of record so schedule, duration, and status roll up cleanly across your portfolio. • Help build the repeatable processes, templates, and standards that let the function scale, and partner on the automation-first model as it matures. Role Responsibilities: Technical Project Management • Own the Outcome: Be accountable for the success of each implementation from kickoff to activation, whether the work is delivered by Constructor, the customer, or a partner, standing behind on-time, predictable go-live for both new customers and existing-customer product rollouts. • Drive Every Contributor: Coordinate Constructor technical resources, customer resources, and partners against one plan, holding each accountable to their commitments through influence rather than authority. • Lead the Customer Experience: Serve as the primary point of contact through activation, running a clear communication rhythm and building customer confidence from kickoff to handoff. • Manage Handoffs & Risk: Ensure accurate handoffs from Sales into implementation and from implementation into Customer Success and Support, surfacing risk early and keeping delivery on track wherever the risk sits. • Build Scalable Process: Standardize how implementations are run at Constructor, maintain accurate tracking and reporting, and help advance the automation-first operating model as the function grows. Requirements You Have • At least 3 years of technical project management or onboarding project management experience, ideally in a SaaS environment. • A track record of owning delivery outcomes end to end and holding cross-functional contributors accountable through influence rather than direct authority. • Excellent organizational and communication skills, with the ability to run multiple implementations in parallel without losing the thread. • Customer-facing confidence: you can lead a kickoff, manage expectations, and keep stakeholders aligned through go-live. • Proven ability to prioritize effectively, manage competing demands, and maintain clarity under ambiguity. Nice to Have • Technical fluency sufficient to direct integration specialists and translate between technical and business stakeholders. • Exposure to ecommerce, product discovery, LLMs and familiarity with concepts like catalog data feeds, integrations and APIs. • Experience coordinating implementations that span internal teams, customer resources, and third-party partners. Benefits 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 💰 A competitive compensation package including stock options: base salary range is 90-105K USD annually 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑‍🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact 🏥 Company sponsored US health coverage (100% paid for employee) Diversity, Equity, and Inclusion at Constructor At http://constructor.io/Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.   How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: South Windsor, CT  ; White Plains, NY Project Manager – Transmission Line Construction (Power Delivery Infrastructure) Location: Various Employment Type: Full-Time Travel: Required Build the Lines That Power the Grid Strengthening the power grid requires more than generation—it depends on the safe, reliable transmission of electricity across vast distances. At Michels Power, Inc. , we build and maintain the transmission infrastructure that connects energy sources to communities, industries, and businesses across the country. From new line construction to rebuilds and system upgrades, our teams deliver critical projects that keep the grid strong and resilient. As one of the nation’s leading power delivery contractors, Michels Power performs work across transmission, substations, distribution, renewable energy, and emergency restoration—supporting utilities and energy providers nationwide. Position Overview As a Project Manager – Transmission Line Construction , you will lead the execution of transmission line projects or key phases of large, complex programs. You will be accountable for all aspects of project success—from bid development and planning through execution and closeout—ensuring strong safety performance, client satisfaction, and financial results. This role requires a proactive, organized leader who can effectively manage multiple priorities, collaborate across teams, and make informed decisions in a fast-paced construction environment. Key Responsibilities Lead projects from proposal and bidding through execution and closeout Promote and maintain a strong safety culture across all project activities Review project plans and contracts to define scope, schedule, staffing, and resource requirements Manage project performance, including schedule adherence, cost control, and risk management Build and maintain strong relationships with clients, subcontractors, and project partners Serve as the primary point of contact for contractual matters, including changes and issue resolution Collaborate with field leadership to coordinate construction activities and ensure efficient execution Develop and manage project work plans, assigning responsibilities and driving accountability Review project status reports and adjust schedules or plans as needed Prepare and present reports to leadership, clients, and stakeholders Coordinate compliance with regulatory requirements and customer specifications Lead or support bid development, RFP responses, and estimating efforts as needed Resolve project challenges proactively and escalate issues when appropriate Perform other duties as assigned What it takes? Bachelor’s degree in Project Management, Construction Management, Engineering, or related field (or equivalent experience) 5–7+ years of project management experience, preferably in transmission line, utility, or heavy civil construction Proven ability to manage multiple projects or phases of larger projects simultaneously Strong understanding of contracts, scheduling, and cost control Experience with project management software (Primavera, HCSS, or similar preferred) Proficiency with Microsoft Office Suite Excellent communication, leadership, and organizational skills Valid driver’s license with an acceptable driving record Willingness to travel and support long-term, project-based assignments Core Development Competencies Customer Focus Action Oriented Personal Accountability Drives Results Interpersonal Savvy Values Differences Communicates Effectively Instills Trust Demonstrates Self-Awareness Self-Development Work Environment & Physical Demands Combination of office work and active construction site environments Travel required, including long-term onsite project assignments Exposure to outdoor conditions, heavy equipment, and moderate to loud noise levels Physical requirements include: Regular desk work and field activity Lifting up to 25 pounds Ability to work in dynamic, fast-paced environments Why Michels Power, Inc.? One of the nation’s leading power delivery contractors High-impact work supporting critical infrastructure across the U.S. Family-owned company with long-term stability and growth Strong investment in employee training and career development Opportunity to lead meaningful projects with lasting impact Safety-first culture—everyone is responsible Part of one of North America’s most diversified infrastructure contractors Comprehensive Benefits Package Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans Why you? You like to surround yourself with dedicated, value-driven people. You thrive on new challenges and evolving technologies. You think “we’ve always done it this way” is not a good enough reason. You want to know your efforts are recognized and appreciated. You like making your own decisions—with the right support. You want to be part of a team that improves lives through essential infrastructure. Join a company that powers progress. Be a part of Michels Power, Inc.—where you don’t just build projects, you build a career. #LI-AS1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Solution Architect to help translate business goals into scalable, secure, and maintainable technical solutions. You will work across product discussions, architecture design, technical reviews, and cross team collaboration to support clear requirements and consistent engineering practices. This project is centered on a modern travel focused platform with cloud native services, distributed systems, data integrations, and observability. It aims to improve productivity, quality, security, reliability, and time to market through consistent architecture principles and implementation ready technical solutions. Define and communicate target architecture aligned with business objectives and product strategy Design scalable and secure solutions across cloud native applications APIs data platforms integrations and distributed systems Guide the adoption of Azure services containerized workloads event driven architecture Snowflake and Datadog Evaluate architectural alternatives and document trade offs risks dependencies and recommendations Identify opportunities to simplify systems reduce technical debt and improve platform reusability Partner with stakeholders to write review validate and improve product and technical requirements Translate business needs into clear testable and technically feasible requirements Identify gaps assumptions dependencies integration constraints and architectural risks before development starts Help teams define acceptance criteria API contracts data requirements system boundaries and testing strategies Guide engineering teams in adopting architectural directions standards reusable patterns and decision records Review proposed designs and significant technical changes and provide timely feedback Help identify and manage architectural dependencies across teams products platforms and shared services Drive responsible adoption of AI capabilities across the software development lifecycle Evaluate AI enabled tools frameworks and platforms based on value security reliability maintainability and cost Define architectural patterns for integrating AI services into applications Establish guidelines for AI generated code content validation data protection and secure AI tool usage Promote AI assisted testing including test generation regression coverage API validation and failure analysis Measure engineering and delivery outcomes using relevant performance and quality indicators Lead by example with clean architecture secure coding effective testing and maintainable implementation practices Help teams improve CI/CD pipelines automated testing deployment strategies infrastructure as code and delivery reliability Promote domain driven design modularity API first design asynchronous communication and event driven integration Collaborate with engineering managers technical leads developers QA engineers data engineers and product teams to resolve technical challenges Mentor technical leaders and engineers in architecture skills decision making and engineering ownership Facilitate architecture reviews technical design workshops knowledge sharing sessions and cross team discussions Present architecture changes engineering practices frameworks and technology investments to technical and non technical stakeholders Guide the design of reliable integrations across internal systems third party providers booking platforms and external services Establish patterns for event driven communication API integration messaging data consistency retries idempotency and failure recovery Collaborate with data teams on Snowflake architecture data ingestion transformation governance quality and analytical access patterns Promote observability through metrics logs distributed tracing dashboards and alerts using Datadog Apply controls for sensitive data access management secrets compliance and secure information handling Experience in software engineering and solution architecture designing and delivering production systems Understanding of distributed systems cloud native architecture microservices modular monoliths API design and system integration Ability to translate business requirements into technical designs and implementation plans Experience leading architecture reviews establishing engineering standards and influencing technical decisions across teams Ability to balance strategic architecture with delivery constraints incremental modernization and pragmatic trade offs Strong written and verbal communication skills for technical and non technical stakeholders Hands on experience with Microsoft Azure and cloud native services Experience with Docker and containerized application deployment Experience with Kubernetes or Azure Kubernetes Service Familiarity with infrastructure as code CI/CD automated deployment environment management and cloud cost optimization Understanding of application security secrets management resilience disaster recovery and least privilege access Experience designing APIs and integrations across distributed systems Understanding of event driven architecture messaging asynchronous processing eventual consistency retries idempotency and dead letter handling Experience with data pipelines data modeling and analytical platforms Hands on experience with Snowflake Familiarity with Azure Event Hubs Service Bus Kafka or equivalent messaging platforms Understanding of data governance data quality access controls and privacy considerations Practical experience adopting AI assisted development tools and integrating AI into software engineering workflows Understanding of the software development lifecycle and AI support across requirements design coding testing review deployment and operations Familiarity with Datadog Experience with observability practices including metrics logs distributed tracing dashboards and alerts Understanding of retrieval augmented generation patterns Familiarity with model APIs and prompt engineering Experience contributing to architecture reviews and technical design workshops Experience supporting automated testing across unit integration contract end to end performance and security testing

Location: Bengaluru, India We are seeking a proactive and innovative Technical Project Manager to join our team, with a focus on handling complex technical projects related to software development and system integrations. The ideal candidate will take charge of overseeing the execution of technical initiatives aimed at enhancing organizational efficiency. Prior experience in managing software development life cycles, along with strong communication and organizational skills, will be essential. This position is intended for Hyderabad-based candidates who are available to work from the office. The project involves planning and executing technical initiatives that support software development and system integration efforts. You will help connect technical and business stakeholders so delivery stays aligned with organizational goals and project requirements. Serve as Project Manager, Scrum Master for one or more Agile teams, facilitating ceremonies (sprint planning, stand-ups, retrospectives, reviews). Foster a culture of continuous improvement and Agile best practices. Define project scope, goals, and deliverables in collaboration with stakeholders. Build and maintain project plans, roadmaps, and delivery timelines. Manage dependencies, risks, and issue resolution across teams and vendors. Ensure alignment with business priorities and technical feasibility. Partner with engineers and architects to understand technical requirements, system integrations, and solution design. Translate business needs into actionable technical tasks and user stories. Support backlog refinement and prioritization with Product Owners. Provide clear and concise status reporting to leadership and business teams. Act as the bridge between technical and non-technical stakeholders. Manage expectations on delivery scope, quality, and timelines. 6+ years of experience as a Project Manager and Scrum Master. Strong knowledge of Agile frameworks (Scrum, Kanban, SAFe). Solid understanding of SDLC and cloud/SaaS platforms. Familiarity with tools such as Jira and Confluence. Excellent communication, facilitation, and conflict resolution skills. Experience with ERP CRM or enterprise software implementation

Location: Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland We are looking for a Microsoft Dynamics 365 Developer with experience in Dynamics 365 configuration and customization, plugin development, custom workflow activity development, and system integration. In this role, you will support, modify, and maintain existing solutions while contributing to custom development and data related improvements. You will contribute to a project that relies on Dynamics 365, D365 CE, and supporting integration and data tools. The work includes custom development, system maintenance, and improvements to connected services and reporting capabilities. Develop customizations and configurations in Dynamics 365 and D365 CE Build plugins and custom workflow activities for business requirements Develop and maintain JavaScript components for CRM solutions Resolve data issues using SQL queries and SSIS packages with KingswaySoft Ensure adherence to best practices and coding standards in custom development Support modify and maintain systems and code developed by other engineering teams Implement integrations with legacy and modern systems using batch jobs or APIs Work with service module capabilities in D365 CE including SLA and queue Contribute to solutions using Power Apps Power BI and Power Automate Develop and maintain integrations with AWS Snowflake and ECM systems Work with Azure Synapse Workspace Azure Functions and WebJobs Experience with Dynamics 365 configuration and customization Experience with plugin development and custom workflow activities in Dynamics 365 Proficiency in JavaScript for CRM-related development Proficiency in C# and TypeScript Proficiency in HTML and CSS Experience with SSIS and SSIS packages using KingswaySoft Strong knowledge of SQL queries Hands-on experience with Power Apps, Power BI, and Power Automate Experience with API integration with AWS, Snowflake, and ECM Hands-on experience with Azure Synapse Workspace Experience with Azure Functions and WebJobs Good knowledge of the Service module in D365 CE Experience with SLAs and queues in D365 CE Ability to understand, support, modify, and maintain systems and code developed by other engineering teams

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 91 mobile network operators in 64 countries around the world. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts. About the role We are looking for a ClickHouse & PostgreSQL Database Administrator to join our Engineering team in Istanbul. You will own the reliability, performance and scalability of the databases behind our network automation platform, which processes large volumes of mobile network data for operators worldwide. What you will do Design, operate, monitor and troubleshoot production ClickHouse clusters (sharding, replication, ClickHouse Keeper/ZooKeeper, MergeTree table design, TTL and partitioning) Manage and tune PostgreSQL databases, including high availability (e.g. Patroni), replication, backup and recovery Optimize query performance and storage for high-volume analytical workloads Plan and test backup, restore and disaster recovery procedures Automate provisioning, upgrades and maintenance (Ansible, scripting, IaC) Support application development teams on schema design, data modelling and query optimization Build and maintain test and staging environments Required qualifications Bachelor’s degree in a related field 4+ years of experience as a DBA / DBRE / data platform engineer Hands-on production experience with ClickHouse or PostgreSQL , and solid working knowledge of the other Oracle DBA background is a plus Experience with replication, high availability and backup/recovery Strong Linux skills and shell scripting Good verbal and written English Being able to work in Turkey

Location: Colombia; Brazil; Peru The Data Center Capacity & Inventory Specialist owns a single, accurate, and always-current view of the organization's entire data center estate worldwide. The role exists because the biggest infrastructure decisions — where to place workloads, when to expand or consolidate, and how to plan a move — are only as reliable as the underlying data on power, cooling, racks, and space. That information is typically fragmented across sites, spreadsheets, and providers. This role consolidates it into one authoritative source of truth, keeps it current, and turns it into capacity forecasts, utilization reporting, and move/migration analysis the business depends on. It is accountable for the inventory and operational data of every facility the organization uses — owned, colocation, and edge. Scope & Context Global portfolio: every data center facility across all regions — company-owned and on-premises sites, colocation and wholesale space, and edge or remote equipment rooms. Physical assets: racks and cabinets; power (utility feeds, UPS, generators, PDUs, circuits); cooling (CRAC/CRAH, containment, chilled water); floor, cage, and suite space; structured cabling; and environmental monitoring. Data domains: inventory, capacity and utilization, contracts and commitments (colo agreements, power and space reservations), and a history of physical changes. Organizational placement: reports into infrastructure/IT leadership and partners with networking, cloud, security, procurement, and finance. Key stakeholders: site and facilities teams, colocation providers, infrastructure engineering, capacity planning, finance (cost allocation), and the business units requesting space or moves. Key Responsibilities Define and enforce how every site records and reports its power, cooling, rack, and space configuration, so data is comparable across the portfolio. Participate in the the space, power, and cooling analysis behind data center moves, migrations, and consolidations: what fits where, target-site readiness, and the sequencing of each move. Supply the accurate capacity and utilization data that drives resourcing and planning decisions Manage capacity risk proactively: identify sites approaching power, cooling, or space limits before they constrain the business. Uphold resilience, safety, and compliance standards across facilities, including redundancy targets (for example N+1) and disaster-recovery posture. Inventory, Data & Capacity Management (Core Mandate) This is the primary purpose of the role: a single, trusted, global source of truth for every data center, kept accurate and current. Maintain the global inventory and data for all facilities A complete register of every data center and equipment room, with location, provider, and contracted commitments. Space: floor area, cage and suite allocation, rack and cabinet counts, rack-unit (RU) inventory and occupancy, and remaining white space. Power: utility feeds and redundancy, UPS and generator capacity, PDU and circuit inventory, provisioned vs. actual draw (kW) per rack, row, and room, and PUE where measured. Cooling: cooling capacity and type, containment, redundancy (N, N+1), temperature and humidity envelopes, and thermal headroom. Racks & assets: rack elevations, cabinet layouts, and the physical assets each contains, mapped to their power and connectivity. Turn that data into decisions Track utilization and remaining headroom for space, power, and cooling at rack, row, room, and site level. Forecast capacity, flag sites approaching their limits, and recommend expansion, consolidation, or reallocation. Provide the analysis behind every move and migration — what a target site can support and how a move should be staged. Produce regular reporting and dashboards for leadership, finance, and planning. Own the tooling and data quality Define data standards, naming conventions, and an audit cadence that keep the inventory accurate. Run periodic physical audits and reconciliations against the recorded data. Requirements Proven experience managing data center infrastructure at multi-site or global scale, ideally across a mix of owned and colocation facilities. Deep, practical understanding of data center power, cooling, and physical space — circuits, PDUs, UPS and generators, redundancy concepts (N, N+1, 2N), cooling systems, and containment. A demonstrated track record of keeping accurate inventory and capacity data current across many sites. Experience planning and executing data center moves, migrations, consolidations, or build-outs. Colocation and vendor management experience — contracts, SLAs, capacity commitments, and cost control. Strong data and reporting skills: able to turn raw facility data into clear capacity forecasts and dashboards, with advanced spreadsheet skills and comfort using BI or reporting tools. Experience coordinating work across multiple regions, time zones, and stakeholder groups. Preferred Qualifications & Certifications Data center certifications such as Uptime Institute (ATD/ATS), BICSI DCDC, or EPI CDCP/CDCS/CDCE. Familiarity with specific DCIM platforms (for example Nlyte, Sunbird, Device42, or Hyperview). Knowledge of relevant standards — Uptime Institute Tier topology, ANSI/TIA-942, and ASHRAE thermal guidelines. Exposure to hybrid environments (on-premises, colocation, edge, and public cloud) and how physical capacity relates to workload placement. Awareness of data center sustainability and energy-efficiency practice, including PUE and power reporting. Benefits Full Remote Comfortable working on EST time zone Contractor Working equipment provided by the company Equal Opportunity Employer PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. This recruitment process may use automated or artificial intelligence to screen or assess applicants. This job posting is for an existing vacancy.

Location: Brussels, Belgium We currently have a vacancy for a Data Scientist – Text mining / NLP fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site and off site. Your tasks Design, implement and optimise advanced AI, NLP, and ML models. Use LLMs, RAG frameworks, and other state-of-the-art approaches; Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering and other text mining-related tasks; Fine-tune pre-trained models on domain-specific tasks; Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies; Develop and maintain robust, scalable, and efficient code using Python; Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services; Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability; Participate in peer reviews and contribute to the continuous improvement of AI solutions; Contribute to the design and implementation of ML application architecture and its solution stack; Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders. Requirements Bachelor degree in IT with focus on Statistics, Data Science, Machine Learning combined with 12 years of relevant working experience ; Experience in Machine Learning and Natural Language Processing; Experience with AI-powered code assistants (e.g., Amazon Kiro, Github Copilot), staying updated with advancements in AI-driven code technologies; Experience with A/B testing and experimental design of ML models; Experience with pre-trained models and LLMs like GPT, and other Transformer-based architectures; Experience with tools like Matplotlib and Seaborn for creating data visualisations; Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch; Proficient in continuous code delivery and unit testing; Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face); Good knowledge of SQL tooling (Oracle, PostgreSQL); Knowledge of NoSQL databases (Elasticsearch, MongoDB); Knowledge of architectural design of scalable ML solutions such as model servers, GPU resource optimization; Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems; Understanding of bias in ML applications and bias mitigation techniques; Strong understanding of linguistics and text processing techniques; Good knowledge of European Commission grant management ecosystem (eGrants) would be an asset; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference (158834/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 600 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy. Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings.

Location: Jakarta, Indonesia Who are we? Avomind is a global recruitment firm connecting high-potential talent with leading companies worldwide. We support fast-growing firms, startups, and international enterprises by delivering top commercial, strategy, analytics, insights, operations, and technology talent across APAC, EMEA, and AMER. Our team is international, fast-moving, and collaborative. We value speed, ownership, and structured execution — and we’re constantly improving how we operate internally to stay efficient and scalable. To support our growing operations, we are looking for a Junior Data Controller (Part-Time) to help us maintain structured, accurate, and reliable internal data systems. About the Role This role focuses on maintaining data quality, structure, and visibility across our internal tools and reporting systems. You will help ensure that our CRM and tracking files remain accurate, organized, and actionable so that teams across Business Development, Marketing, and Operations can work effectively. This is a detail-oriented position ideal for someone who enjoys working with structured data, improving processes, and creating clarity from complexity. Responsibilities Maintain and manage HubSpot CRM, ensuring data accuracy, consistency, and completeness. Ensure all pipelines and records are properly filled out and updated. Monitor and update deal statuses and pipeline stages according to current progress. Coordinate with Business Development, Marketing, and Operations teams to gather and share updates when needed. Act as a point of accountability for CRM hygiene and reporting readiness. Identify missing, outdated, or inconsistent data and flag issues proactively. Maintain and organize internal tracking files (KPI tabs, client books, reporting sheets, etc.). Support ad-hoc reporting, data cleanup, and administrative tasks related to internal systems. Requirements We would love to hear from you if you: Are currently enrolled in a Bachelor’s degree program (preferably in the 6th–8th semester) at a university, with availability to work part-time alongside studies. Are pursuing (or have recently completed) a Bachelor’s degree in a quantitative or analytical field such as Mathematics, Finance, Accounting, Engineering, Data Analytics, Economics, or a related discipline. Have professional-level English sufficient for internal communication. Are structured, detail-oriented, and highly organized. Are confident communicating with team members to collect and share updates when needed. Work efficiently and have a strong sense of ownership. Are proficient with Microsoft Excel, Google Sheets, and Google Drive. Experience with HubSpot or CRM tools is a strong plus. Can commit to at least 6 months (ideally 1 year). Nice to Have Experience with Business Intelligence (BI) tools such as Microsoft Power BI, Tableau, Looker Studio, or similar platforms. Experience building or maintaining dashboards for marketing performance, company-wide KPIs, client performance, or other business metrics. Ability to turn raw data into clear reports and visualizations that support business monitoring and decision-making. Working Setup Part-time: 15-20 hours per week. Flexible scheduling between Monday–Friday. Remote work. Based in Jakarta, Indonesia preferred. Why join Avomind? Work with a global and diverse international team. Gain hands-on exposure to business operations and data management. Develop structured thinking and process improvement skills. Flexible working environment suited for students.

Location: Santa Clara Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward Networks is looking for an experienced Regional Sales Director Do want to create a category and help build a special company? Do you want to sell a platform that solves real networking problems? Do sensible quotas and no cap on earnings pique your interest? Join a company that has been in market 5+ years and has some of the top F500/Global 2000 and Federal agencies already buying and referenceable. If you have 7-10 years of wildly successful experience selling to large enterprises and have also been on the journey of building an early stage company...you may be the one! We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. Responsibilities Own the development and execution of your sales strategy in territory that aligns with the company’s goals and objectives Identify and qualify leads, and generate new Fortune 1000 opportunities in order to achieve quota on a quarterly and annual basis Build strategic working relationships with clients, maintaining a high level of face-to-face contact Analyze potential sales opportunities by using data analysis and segmented research to identify the attributes most valued by our potential clients Develop a deep understanding of the competitive landscape and maintain a client database The ideal candidate will be located in San Francisco Bay Area region. The expected On-Target Cash Earnings for this role is between 320,000-350,000 per year. Within this range, individual pay is determined by several factors including but not limited to, job-related skills, work experience, and relevant education/training